metadata
license: other
base_model: facebook/opt-6.7b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: opt-6.7b-sft
results: []
opt-6.7b-sft
This model is a fine-tuned version of facebook/opt-6.7b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2324
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 512
- total_eval_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8817 | 1.0 | 253 | 1.2324 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0